Ted Taekyoung Kwon
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Yanghee ChoiMin ChenKideok ChoAthanasios V. VasilakosSangheon PackXiaofei WangYunhao LiuMunyoung Lee
- Topics
- Caching and Content Delivery (18 papers)Peer-to-Peer Network Technologies (16 papers)Opportunistic and Delay-Tolerant Networks (9 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Ted Taekyoung Kwon
48 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 1.0k
- Electrical and Electronic Engineering 462
- Sociology and Political Science 145
- Artificial Intelligence 138
- Information Systems 134
Countries citing papers authored by Ted Taekyoung Kwon
This map shows the geographic impact of Ted Taekyoung Kwon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ted Taekyoung Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Taekyoung Kwon more than expected).
Fields of papers citing papers by Ted Taekyoung Kwon
This network shows the impact of papers produced by Ted Taekyoung Kwon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ted Taekyoung Kwon. The network helps show where Ted Taekyoung Kwon may publish in the future.
Co-authorship network of co-authors of Ted Taekyoung Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Ted Taekyoung Kwon. A scholar is included among the top collaborators of Ted Taekyoung Kwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ted Taekyoung Kwon. Ted Taekyoung Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 102 | |
| 3 | 7 | |
| 4 | 127 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 26 | |
| 8 | 50 | |
| 9 | WAVE: Popularity-based and collaborative in-network caching for content-oriented networksbreakdown → | 272 |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 20 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | Angle Gap (AG) based Grouping Algorithm for Multi-Mobile Agents Itinerary Planning in Wireless Sensor Networks | 1 |
| 18 | 17 | |
| 19 | 4 | |
| 20 | 25 |
About Ted Taekyoung Kwon
Ted Taekyoung Kwon is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Media Technology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Caching and Content Delivery (18 papers), Peer-to-Peer Network Technologies (16 papers) and Opportunistic and Delay-Tolerant Networks (9 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Electrical and Electronic Engineering (462 citations) and Communication (55 citations). Ted Taekyoung Kwon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Yanghee Choi, Min Chen, Kideok Cho, Athanasios V. Vasilakos, Sangheon Pack, Xiaofei Wang, Yunhao Liu, Munyoung Lee, Kunwoo Park and Jinyoung Han. Their work appears in journals such as Scientific Reports, IEEE Access and ACM SIGCOMM Computer Communication Review.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.